TestingWhiz is a test automation tool with the code-less scripting by Cygnet Infotech, a CMMi Level 3 IT solutions provider. TestingWhiz tool’s Enterprise edition offers a complete package of various automated testing solutions like web testing, software testing, database testing, API testing, mobile app testing, regression test suite maintenance, optimization, and automation, and cross-browser testing.
BeeBills is an automated invoicing software with features designed to make the invoicing process simpler for both businesses and their consumers. You can send automatically scheduled reminders to customers to pay invoices among other features. The company is based in Norway, but the product is marketed and meant for businesses in the United States and United Kingdom. beebills.com
Bugfender does not require any physical installation – it can be simply loaded onto any user’s device, even if it’s an obscure model you’ve never heard of. It logs 24-7, so you don’t just get crash reports – you get a forensic view under the hood of your application, even when things are running smoothly, and you get a breakdown of all the devices using your product, which is great for customer service.
“I don't think that using the 'test automation' label in itself is wrong though, as long as people are aware of what is being automated (checks) and what is not (tests). This difference between testing and checking also provides an argument as to why manual testing as an activity will not cease to exist, at least not for the foreseeable future: testing activities cannot be automated!”
Amazon is testing delivery drones that pick up warehouse orders sorted by robots, Google is testing self-driving cars, Starbucks is testing cashier-free stores dedicated to mobile ordering and payment, and Facebook is testing a brain-computer interface that may one day translate thoughts into digital text. There are mundane versions of automation technology behind all of this testing — software automation testing. Companies use automation technology to create the software responsible for the products and services causing all the hype.
This approach works fine for the first weeks, when running checks only takes five minutes. Over time, though, five minutes turn into an hour, then two, then three. Before you know it, testing locks up the tester's computer or test environment all afternoon. So you start kicking off automated test runs at 5 am or 5 pm and get the results the next day. Unfortunately, if something goes wrong early on, all the results will be corrupted. That slows to a crawl the feedback loop from development to test, creating wait states in the work.
Another problem with test tooling, one that's more subtle, especially in user interface testing, is that it doesn't happen until the entire system is deployed. To create an automated test, someone must code, or at least record, all the actions. Along the way, things won't work, and there will be initial bugs that get reported back to the programmers. Eventually, you get a clean test run, days after the story is first coded. But once the test runs, it only has value in the event of some regression, where something that worked yesterday doesn't work today.
Anyone who says their business "runs itself" probably owes a great debt of gratitude to a small army of software applications and Web services that tirelessly feeds the machine from behind the scenes. From creating and storing documents and staying on top of e-mail to keeping the books and getting teams working together, it takes a lot of code to run a business, or at least to run it well. But setting up your company isn't as easy as just fishing apps out of a barrel. You want the best you can get, and at a price that isn't through the roof.
I think we can all agree that automation is a critical part of any organization's software delivery pipeline, especially if you call yourself "agile." It's pretty intuitive that if you automate testing, your release cycles are going to get shorter. "So, if that's the case," you might say, "why don't we just automate everything?" There's a good reason: automation comes with a price.
As we can see, each of these automation tools has unique features to offer in addressing the growing challenges of software automation in the years ahead. Most provide capabilities for continuous testing and integration, test managementing, and reporting. They all support increasing automation needs for Web and Mobile testing. However, intelligent testing and smart analytics for adaptive and heterogeneous environments are still something to be desired for automation tools.
Jones recommends flexible automation frameworks and cautions against using a framework limited to only UI testing, for example. Some test teams build their frameworks from scratch to satisfy the desired result of the test automation code and activities. According to Jones, most test automation initiatives fail due to the poor design of the test automation framework architecture for that project.
Mobile versions. Because cloud-based accounting applications support anytime, anywhere access to financial data, their developers have made at least a subset of the main site's features available on smartphones and tablets. Kashoo was the first to build an iPad app, and One Up was actually developed for mobile use and only later made available through web browsers.
Namely serves medium-sized businesses at 15-100 employees, and offers HR, time, payroll, benefits administration, and talent management–all in a cloud-based solution. And if your team is clueless when it comes to HR, there’s no need to hire a full-time specialist when you can contract with Namely Managed Services to give you advice and best practices.
Environment issues aside, automated checks that need to be run by hand create a drain on the team. Most teams we work with tend to want to just get started by running automated checks by hand. I suggest a different approach: Start with one check that runs end-to-end, through the continuous integration server, running on every build. Add additional scripts to that slowly, carefully, and with intention. Instead of trying to automate 100%, recognize that tooling creates drag and maintenance cost. Strive instead to automate the most powerful examples.
GitHub’s major competitor is Bitbucket, an Atlassian product that has deep integrations with JIRA, Confluence, and Trello. For up to 10 users, Bitbucket is cheaper. When you hit 10+, it’s more expensive but may work out as cheaper for large enterprises. Also, if your company is looking to spark interest in the open source community, there’s no bigger audience than GitHub’s.
While automation saves you a lot of time, it still takes time. You can't run all your tests all the time. It takes too long and would generate an unmanageable analysis and maintenance effort. In my group, we've taken both manual and automation testing to three levels: sanity, end-to-end, and full. In addition to our feature tests, on every code commit, we run a set of high level, cross-feature tests to make sure that a code change in one feature hasn't broken another one. Only then do we run a set of more extended tests specific to the feature for which the code was committed. Then, we run our suite of feature-level sanity tests on our continuous delivery environment every three hours to make sure all features are in good shape. We only do this on one browser though, because we've found that if a test fails, it doesn't usually depend on the browser. Finally, we run feature end-to-end testing on our nightly environment.
Tools are specifically designed to target some particular test environment, such as Windows and web automation tools, etc. Tools serve as a driving agent for an automation process. However, an automation framework is not a tool to perform a specific task, but rather infrastructure that provides the solution where different tools can do their job in a unified manner. This provides a common platform for the automation engineer.
In software testing, test automation is the use of special software (separate from the software being tested) to control the execution of tests and the comparison of actual outcomes to predicted outcomes. Test automation can automate some repetitive but necessary tasks in a formalized testing process already in place, or add additional testing that would be difficult to perform manually.